Chongxuan Li

Chongxuan Li

Tsinghua University

H-index: 24

Asia-China

About Chongxuan Li

Chongxuan Li, With an exceptional h-index of 24 and a recent h-index of 23 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of Machine Learning, Deep Generative Models.

His recent articles reflect a diverse array of research interests and contributions to the field:

Progressive Image Synthesis from Semantics to Details with Denoising Diffusion GAN

On evaluating adversarial robustness of large vision-language models

Crm: Single image to 3d textured mesh with convolutional reconstruction model

Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation

Graph Diffusion Policy Optimization

Diffusion models and semi-supervised learners benefit mutually with few labels

Gaussian Mixture Solvers for Diffusion Models

MicroDreamer: Zero-shot 3D Generation in 20 Seconds by Score-based Iterative Reconstruction

Chongxuan Li Information

University

Position

___

Citations(all)

3068

Citations(since 2020)

2812

Cited By

817

hIndex(all)

24

hIndex(since 2020)

23

i10Index(all)

36

i10Index(since 2020)

36

Email

University Profile Page

Tsinghua University

Google Scholar

View Google Scholar Profile

Chongxuan Li Skills & Research Interests

Machine Learning

Deep Generative Models

Top articles of Chongxuan Li

Title

Journal

Author(s)

Publication Date

Progressive Image Synthesis from Semantics to Details with Denoising Diffusion GAN

Guoxing Yang

Haoyu Lu

Chongxuan Li

Guang Zhou

Haoran Wu

...

2024

On evaluating adversarial robustness of large vision-language models

Advances in Neural Information Processing Systems

Yunqing Zhao

Tianyu Pang

Chao Du

Xiao Yang

Chongxuan Li

...

2024/2/13

Crm: Single image to 3d textured mesh with convolutional reconstruction model

arXiv preprint arXiv:2403.05034

Zhengyi Wang

Yikai Wang

Yifei Chen

Chendong Xiang

Shuo Chen

...

2024/3/8

Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation

Advances in Neural Information Processing Systems

Zhengyi Wang

Cheng Lu

Yikai Wang

Fan Bao

Chongxuan Li

...

2024/2/13

Graph Diffusion Policy Optimization

arXiv preprint arXiv:2402.16302

Yijing Liu

Chao Du

Tianyu Pang

Chongxuan Li

Wei Chen

...

2024/2/26

Diffusion models and semi-supervised learners benefit mutually with few labels

Advances in Neural Information Processing Systems

Zebin You

Yong Zhong

Fan Bao

Jiacheng Sun

Chongxuan Li

...

2024/2/13

Gaussian Mixture Solvers for Diffusion Models

Advances in Neural Information Processing Systems

Hanzhong Guo

Cheng Lu

Fan Bao

Tianyu Pang

Shuicheng Yan

...

2024/2/13

MicroDreamer: Zero-shot 3D Generation in 20 Seconds by Score-based Iterative Reconstruction

arXiv preprint arXiv:2404.19525

Luxi Chen

Zhengyi Wang

Chongxuan Li

Tingting Gao

Hang Su

...

2024/4/30

Toward understanding generative data augmentation

Advances in Neural Information Processing Systems

Chenyu Zheng

Guoqiang Wu

Chongxuan Li

2024/2/13

Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations

arXiv preprint arXiv:2404.15766

Kaiwen Xue

Yuhao Zhou

Shen Nie

Xu Min

Xiaolu Zhang

...

2024/4/24

On memorization in diffusion models

arXiv preprint arXiv:2310.02664

Xiangming Gu

Chao Du

Tianyu Pang

Chongxuan Li

Min Lin

...

2023/10/4

All are worth words: A vit backbone for diffusion models

Fan Bao

Shen Nie

Kaiwen Xue

Yue Cao

Chongxuan Li

...

2023

Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning

Nature Machine Intelligence

Yudeng Lin

Qingtian Zhang

Bin Gao

Jianshi Tang

Peng Yao

...

2023/7

Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training

arXiv preprint arXiv:2308.07665

Ximing Xing

Chuang Wang

Haitao Zhou

Zhihao Hu

Chongxuan Li

...

2023/8/15

Controlvideo: Adding conditional control for one shot text-to-video editing

arXiv preprint arXiv:2305.17098

Min Zhao

Rongzhen Wang

Fan Bao

Chongxuan Li

Jun Zhu

2023/5/26

Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning

arXiv preprint arXiv:2304.12824

Cheng Lu

Huayu Chen

Jianfei Chen

Hang Su

Chongxuan Li

...

2023/4/25

A closer look at parameter-efficient tuning in diffusion models

arXiv preprint arXiv:2303.18181

Chendong Xiang

Fan Bao

Chongxuan Li

Hang Su

Jun Zhu

2023/3/31

The blessing of randomness: Sde beats ode in general diffusion-based image editing

arXiv preprint arXiv:2311.01410

Shen Nie

Hanzhong Allan Guo

Cheng Lu

Yuhao Zhou

Chenyu Zheng

...

2023/11/2

Towards understanding generalization of macro-AUC in multi-label learning

Guoqiang Wu

Chongxuan Li

Yilong Yin

2023/7/3

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

ICML (arXiv preprint arXiv:2303.06555)

Fan Bao

Shen Nie

Kaiwen Xue

Chongxuan Li

Shi Pu

...

2023/3/12

See List of Professors in Chongxuan Li University(Tsinghua University)

Co-Authors

H-index: 102
Max Welling

Max Welling

Universiteit van Amsterdam

H-index: 75
Jun Zhu

Jun Zhu

Tsinghua University

H-index: 42
Hang Su

Hang Su

Tsinghua University

H-index: 23
Tianyu Pang

Tianyu Pang

Tsinghua University

H-index: 22
Jianfei Chen

Jianfei Chen

Tsinghua University

H-index: 21
Lanqing HONG

Lanqing HONG

National University of Singapore

academic-engine